Understanding What We're Given:You have 210 households total, and there's an important chain of logic here:
- If a household has >1 dog → it MUST have at least one cat
- If a household has at least one cat → it MUST have a rodent
So we have this subset relationship: \(\text{Multi-dog households} \subseteq \text{Cat households} \subseteq \text{Rodent households}\)
The question asks for the
exact number of households with rodents - remember, in DS, we need a unique value!
Analyzing Statement (1): 18 households have two or more dogs
Let's think about what this tells us. Since these 18 households must have cats (from our given info), and households with cats must have rodents, we know
at least 18 households have rodents.
But here's what you need to see - this doesn't tell us:
- How many households might have cats but only one dog (or no dogs)
- How many households might have rodents but no cats
We could have exactly 18 households with rodents, or 50, or 100... Statement 1 is
NOT sufficient.
Analyzing Statement (2): 90% of rodent households have at least one cat
This gives us a proportional relationship. If we call the number of rodent households R and cat households C, then \(C = 0.9R\).
But without knowing either C or R, we can't determine the exact value. If R = 100, then C = 90. If R = 200, then C = 180. Both work! Statement 2 is
NOT sufficient.
Combining Both Statements:Now here's where it gets interesting! We know:
- At least 18 households have cats (from Statement 1)
- Cat households = 90% of rodent households (from Statement 2)
This gives us \(18 \leq 0.9R\), so \(R \geq 20\).
But notice - we still don't have an exact value! Let me show you two valid scenarios:
- If exactly 18 households have cats: \(18 = 0.9R\) → \(R = 20\) ✓
- If 27 households have cats: \(27 = 0.9R\) → \(R = 30\) ✓
Since we can have different valid answers (20, 30, or other values), even combining both statements is
NOT sufficient.
Answer: E---
You can check out the
step-by-step solution on Neuron by e-GMAT to master the systematic framework for handling complex set relationships in Data Sufficiency questions. You can also explore other GMAT official questions with detailed solutions on Neuron for structured practice
here. The full solution reveals a powerful technique for visualizing these subset relationships that applies to many similar DS questions you'll encounter.